1 /*
2 * Copyright (c) 2019-2022 Arm Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "arm_compute/core/Types.h"
25 #include "arm_compute/runtime/NEON/functions/NEGather.h"
26 #include "arm_compute/runtime/Tensor.h"
27 #include "arm_compute/runtime/TensorAllocator.h"
28
29 #include "tests/NEON/Accessor.h"
30 #include "tests/PaddingCalculator.h"
31 #include "tests/datasets/GatherDataset.h"
32 #include "tests/datasets/ShapeDatasets.h"
33 #include "tests/framework/Asserts.h"
34 #include "tests/framework/Macros.h"
35 #include "tests/framework/datasets/Datasets.h"
36 #include "tests/validation/Validation.h"
37 #include "tests/validation/fixtures/GatherFixture.h"
38
39 namespace arm_compute
40 {
41 namespace test
42 {
43 namespace validation
44 {
45 TEST_SUITE(NEON)
TEST_SUITE(Gather)46 TEST_SUITE(Gather)
47
48 // *INDENT-OFF*
49 // clang-format off
50 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
51 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
52 TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
53 TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid Indices data type
54 TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid Indices dimensionality
55 TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), // Invalid Input dimensionality
56 TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), // Mismatching data type input/output
57 TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid positive axis value
58 TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), // Invalid negative axis value
59 }),
60 framework::dataset::make("IndicesInfo", {
61 TensorInfo(TensorShape(10U), 1, DataType::U32),
62 TensorInfo(TensorShape(10U), 1, DataType::U32),
63 TensorInfo(TensorShape(10U), 1, DataType::U8),
64 TensorInfo(TensorShape(10U, 10U), 1, DataType::U32),
65 TensorInfo(TensorShape(10U), 1, DataType::U32),
66 TensorInfo(TensorShape(10U), 1, DataType::U32),
67 TensorInfo(TensorShape(10U), 1, DataType::U32),
68 TensorInfo(TensorShape(10U), 1, DataType::U32),
69 })),
70 framework::dataset::make("OutputInfo", {
71 TensorInfo(TensorShape(27U, 10U), 1, DataType::F32),
72 TensorInfo(TensorShape(10U, 27U), 1, DataType::F32),
73 TensorInfo(TensorShape(10U, 27U), 1, DataType::F32),
74 TensorInfo(TensorShape(27U, 10U), 1, DataType::F32),
75 TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32),
76 TensorInfo(TensorShape(27U, 10U), 1, DataType::F32),
77 TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
78 TensorInfo(TensorShape(27U, 27U), 1, DataType::F16),
79 })),
80 framework::dataset::make("Axis", {
81 0,
82 1,
83 -2,
84 0,
85 1,
86 0,
87 1,
88 2,
89 -3,
90 })),
91 framework::dataset::make("Expected", { true, true, false, false, false, false, false, false })),
92 input_info, indices_info, output_info, axis, expected)
93 {
94 const Status status = NEGather::validate(&input_info.clone()->set_is_resizable(true), &indices_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), axis);
95 ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
96 }
97 // clang-format on
98 // *INDENT-ON*
99
100 template <typename T>
101 using NEGatherFixture = GatherFixture<Tensor, Accessor, NEGather, T>;
102
103 const auto gather_small_shapes = arm_compute::test::framework::dataset::concat(datasets::SmallGatherDataset(), datasets::SmallGatherMultiDimIndicesDataset());
104
105 TEST_SUITE(Float)
TEST_SUITE(FP16)106 TEST_SUITE(FP16)
107 FIXTURE_DATA_TEST_CASE(RunSmall,
108 NEGatherFixture<half>,
109 framework::DatasetMode::PRECOMMIT,
110 combine(gather_small_shapes, framework::dataset::make("DataType", DataType::F16)))
111 {
112 // Validate output
113 validate(Accessor(_target), _reference);
114 }
115
116 FIXTURE_DATA_TEST_CASE(RunLarge,
117 NEGatherFixture<half>,
118 framework::DatasetMode::NIGHTLY,
119 combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::F16)))
120 {
121 // Validate output
122 validate(Accessor(_target), _reference);
123 }
124 TEST_SUITE_END() // FP16
125
TEST_SUITE(FP32)126 TEST_SUITE(FP32)
127 FIXTURE_DATA_TEST_CASE(RunSmall,
128 NEGatherFixture<float>,
129 framework::DatasetMode::PRECOMMIT,
130 combine(gather_small_shapes, framework::dataset::make("DataType", DataType::F32)))
131 {
132 // Validate output
133 validate(Accessor(_target), _reference);
134 }
135
136 FIXTURE_DATA_TEST_CASE(RunLarge,
137 NEGatherFixture<float>,
138 framework::DatasetMode::NIGHTLY,
139 combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::F32)))
140 {
141 // Validate output
142 validate(Accessor(_target), _reference);
143 }
144 TEST_SUITE_END() // FP32
TEST_SUITE_END()145 TEST_SUITE_END() // Float
146
147 TEST_SUITE(U8)
148 FIXTURE_DATA_TEST_CASE(RunSmall,
149 NEGatherFixture<uint8_t>,
150 framework::DatasetMode::PRECOMMIT,
151 combine(gather_small_shapes, framework::dataset::make("DataType", DataType::U8)))
152 {
153 // Validate output
154 validate(Accessor(_target), _reference);
155 }
156
157 FIXTURE_DATA_TEST_CASE(RunLarge,
158 NEGatherFixture<uint8_t>,
159 framework::DatasetMode::NIGHTLY,
160 combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::U8)))
161 {
162 // Validate output
163 validate(Accessor(_target), _reference);
164 }
165 TEST_SUITE_END() // U8
166
TEST_SUITE(U16)167 TEST_SUITE(U16)
168 FIXTURE_DATA_TEST_CASE(RunSmall,
169 NEGatherFixture<uint16_t>,
170 framework::DatasetMode::PRECOMMIT,
171 combine(gather_small_shapes, framework::dataset::make("DataType", DataType::U16)))
172 {
173 // Validate output
174 validate(Accessor(_target), _reference);
175 }
176
177 FIXTURE_DATA_TEST_CASE(RunLarge,
178 NEGatherFixture<uint16_t>,
179 framework::DatasetMode::NIGHTLY,
180 combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::U16)))
181 {
182 // Validate output
183 validate(Accessor(_target), _reference);
184 }
185 TEST_SUITE_END() // U16
186
187 TEST_SUITE_END() // Gather
188 TEST_SUITE_END() // Neon
189 } // namespace validation
190 } // namespace test
191 } // namespace arm_compute
192